Defect-Oriented Sampling of Non-Equally Probable Faults in VLSI Systems
The purpose of this paper is to present a novel methodology for Defect-Oriented (DO) fault sampling, and its implementation in a new extraction tool, lobs (Layout Observer). The methodology is based on the statistics theory, and on the application of the concepts of estimation of totals over subpopu...
Gespeichert in:
Veröffentlicht in: | Journal of electronic testing 1999-08, Vol.15 (1-2), p.41 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1-2 |
container_start_page | 41 |
container_title | Journal of electronic testing |
container_volume | 15 |
creator | Gonçalves, Fm Teixeira, Jp |
description | The purpose of this paper is to present a novel methodology for Defect-Oriented (DO) fault sampling, and its implementation in a new extraction tool, lobs (Layout Observer). The methodology is based on the statistics theory, and on the application of the concepts of estimation of totals over subpopulations and stratified sampling to the fault sampling problem. The proposed stratified sampling methodology applies to non-equally probable DO faults, exhibiting a wide range of probabilities of occurrence, and leads to confidence intervals similar to the ones obtained with equally probable faults. ISCAS benchmark circuits are laid out and lobs used to ascertain the results, for circuits up to 100,000 MOS transistors, and extracted DO fault lists of 300,000 faults.[PUBLICATION ABSTRACT] |
doi_str_mv | 10.1023/A:1008351310657 |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_763369762</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2185987471</sourcerecordid><originalsourceid>FETCH-LOGICAL-p180t-b61f0a108f045b0a21007c6e741736b5f6b47f741ad50031c7e9c6ae95530b323</originalsourceid><addsrcrecordid>eNotjjFPwzAUhC0EEqEws1rshme_2E7YqtKWShFFCrBWdmqjVG6SxsnQf99IMJ3uG-47Qh45PHMQ-DJ_5QAZSo4clNRXJOFSIwMt9DVJIBfIMq7TW3IX4wFg4lIlZP3mvKsGtu1r1wxuT0tz7ELd_NLW04-2YcvTaEI408--tcYGR1dmDEOkdUN_inJDy3Mc3DHekxtvQnQP_zkj36vl1-KdFdv1ZjEvWMczGJhV3IPhkHlIpQUjps-6Uk6nXKOy0iubaj81s5cAyCvt8koZl0uJYFHgjDz97XZ9expdHHaHduybSbnTClHlWgm8AODMS3I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>763369762</pqid></control><display><type>article</type><title>Defect-Oriented Sampling of Non-Equally Probable Faults in VLSI Systems</title><source>SpringerLink Journals</source><creator>Gonçalves, Fm ; Teixeira, Jp</creator><creatorcontrib>Gonçalves, Fm ; Teixeira, Jp</creatorcontrib><description>The purpose of this paper is to present a novel methodology for Defect-Oriented (DO) fault sampling, and its implementation in a new extraction tool, lobs (Layout Observer). The methodology is based on the statistics theory, and on the application of the concepts of estimation of totals over subpopulations and stratified sampling to the fault sampling problem. The proposed stratified sampling methodology applies to non-equally probable DO faults, exhibiting a wide range of probabilities of occurrence, and leads to confidence intervals similar to the ones obtained with equally probable faults. ISCAS benchmark circuits are laid out and lobs used to ascertain the results, for circuits up to 100,000 MOS transistors, and extracted DO fault lists of 300,000 faults.[PUBLICATION ABSTRACT]</description><identifier>ISSN: 0923-8174</identifier><identifier>EISSN: 1573-0727</identifier><identifier>DOI: 10.1023/A:1008351310657</identifier><language>eng</language><publisher>Boston: Springer Nature B.V</publisher><subject>Confidence intervals ; Defects ; Studies</subject><ispartof>Journal of electronic testing, 1999-08, Vol.15 (1-2), p.41</ispartof><rights>Kluwer Academic Publishers 1999</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Gonçalves, Fm</creatorcontrib><creatorcontrib>Teixeira, Jp</creatorcontrib><title>Defect-Oriented Sampling of Non-Equally Probable Faults in VLSI Systems</title><title>Journal of electronic testing</title><description>The purpose of this paper is to present a novel methodology for Defect-Oriented (DO) fault sampling, and its implementation in a new extraction tool, lobs (Layout Observer). The methodology is based on the statistics theory, and on the application of the concepts of estimation of totals over subpopulations and stratified sampling to the fault sampling problem. The proposed stratified sampling methodology applies to non-equally probable DO faults, exhibiting a wide range of probabilities of occurrence, and leads to confidence intervals similar to the ones obtained with equally probable faults. ISCAS benchmark circuits are laid out and lobs used to ascertain the results, for circuits up to 100,000 MOS transistors, and extracted DO fault lists of 300,000 faults.[PUBLICATION ABSTRACT]</description><subject>Confidence intervals</subject><subject>Defects</subject><subject>Studies</subject><issn>0923-8174</issn><issn>1573-0727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNotjjFPwzAUhC0EEqEws1rshme_2E7YqtKWShFFCrBWdmqjVG6SxsnQf99IMJ3uG-47Qh45PHMQ-DJ_5QAZSo4clNRXJOFSIwMt9DVJIBfIMq7TW3IX4wFg4lIlZP3mvKsGtu1r1wxuT0tz7ELd_NLW04-2YcvTaEI408--tcYGR1dmDEOkdUN_inJDy3Mc3DHekxtvQnQP_zkj36vl1-KdFdv1ZjEvWMczGJhV3IPhkHlIpQUjps-6Uk6nXKOy0iubaj81s5cAyCvt8koZl0uJYFHgjDz97XZ9expdHHaHduybSbnTClHlWgm8AODMS3I</recordid><startdate>19990801</startdate><enddate>19990801</enddate><creator>Gonçalves, Fm</creator><creator>Teixeira, Jp</creator><general>Springer Nature B.V</general><scope>3V.</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7XB</scope><scope>88I</scope><scope>88K</scope><scope>8AO</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>19990801</creationdate><title>Defect-Oriented Sampling of Non-Equally Probable Faults in VLSI Systems</title><author>Gonçalves, Fm ; Teixeira, Jp</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p180t-b61f0a108f045b0a21007c6e741736b5f6b47f741ad50031c7e9c6ae95530b323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Confidence intervals</topic><topic>Defects</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gonçalves, Fm</creatorcontrib><creatorcontrib>Teixeira, Jp</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Telecommunications (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Science Database</collection><collection>Telecommunications Database</collection><collection>Engineering Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><jtitle>Journal of electronic testing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonçalves, Fm</au><au>Teixeira, Jp</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Defect-Oriented Sampling of Non-Equally Probable Faults in VLSI Systems</atitle><jtitle>Journal of electronic testing</jtitle><date>1999-08-01</date><risdate>1999</risdate><volume>15</volume><issue>1-2</issue><spage>41</spage><pages>41-</pages><issn>0923-8174</issn><eissn>1573-0727</eissn><abstract>The purpose of this paper is to present a novel methodology for Defect-Oriented (DO) fault sampling, and its implementation in a new extraction tool, lobs (Layout Observer). The methodology is based on the statistics theory, and on the application of the concepts of estimation of totals over subpopulations and stratified sampling to the fault sampling problem. The proposed stratified sampling methodology applies to non-equally probable DO faults, exhibiting a wide range of probabilities of occurrence, and leads to confidence intervals similar to the ones obtained with equally probable faults. ISCAS benchmark circuits are laid out and lobs used to ascertain the results, for circuits up to 100,000 MOS transistors, and extracted DO fault lists of 300,000 faults.[PUBLICATION ABSTRACT]</abstract><cop>Boston</cop><pub>Springer Nature B.V</pub><doi>10.1023/A:1008351310657</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0923-8174 |
ispartof | Journal of electronic testing, 1999-08, Vol.15 (1-2), p.41 |
issn | 0923-8174 1573-0727 |
language | eng |
recordid | cdi_proquest_journals_763369762 |
source | SpringerLink Journals |
subjects | Confidence intervals Defects Studies |
title | Defect-Oriented Sampling of Non-Equally Probable Faults in VLSI Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T04%3A14%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Defect-Oriented%20Sampling%20of%20Non-Equally%20Probable%20Faults%20in%20VLSI%20Systems&rft.jtitle=Journal%20of%20electronic%20testing&rft.au=Gon%C3%A7alves,%20Fm&rft.date=1999-08-01&rft.volume=15&rft.issue=1-2&rft.spage=41&rft.pages=41-&rft.issn=0923-8174&rft.eissn=1573-0727&rft_id=info:doi/10.1023/A:1008351310657&rft_dat=%3Cproquest%3E2185987471%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=763369762&rft_id=info:pmid/&rfr_iscdi=true |